C# and Financial Modeling

C# and Financial Modeling, available at $19.99, has an average rating of 4.3, with 57 lectures, 5 quizzes, based on 132 reviews, and has 378 subscribers.

You will learn about Students will learn C# and Financial Modeling An in-depth approach to various models Generics, LINQ, SQL and more Options: Binomial Tree, BSM, and Monte Carlo Portfolio Optimization Design Patterns This course is ideal for individuals who are Everyone It is particularly useful for Everyone.

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Summary

Title: C# and Financial Modeling

Price: $19.99

Average Rating: 4.3

Number of Lectures: 57

Number of Quizzes: 5

Number of Published Lectures: 56

Number of Published Quizzes: 4

Number of Curriculum Items: 62

Number of Published Curriculum Objects: 60

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Students will learn C# and Financial Modeling

An in-depth approach to various models

Generics, LINQ, SQL and more

Options: Binomial Tree, BSM, and Monte Carlo

Portfolio Optimization

Design Patterns

Who Should Attend

Everyone

Target Audiences

Everyone

There are many different types of programming styles, such as algorithmic programming, functional programming, and object-oriented programming. And while each style is suited to a different programming language, C# is capable of all three of the above and more. C# was made to encompass the best of several standard programming languages and does an amazing job at it! Most people that code in C#, rarely switch languages, because it is such a versatile and beautiful tool that allows a programmer to connect in every way necessary. The teaching of the course includes all the steps needed to learn standard topics, as would be taught in a college classroom. The course solves standard problems in C#, with attention to general as well as language-specific issues including event-driven programming, inheritance and polymorphism, recursion, file I/O, exception handling, dynamic data structures, testing and debugging, multithreaded programming, and more. This will be a full course in C#, including design patterns.

The course begins with a solid understanding of the fundamental concepts of programming and builds from there, giving students many, many practice examples to code on their own and learn from for further enhancement and development. Successful students will be able to write correct and complete C# implementations of homework projects. Successful students will also complete exam questions that test use cases and will be able to write any program that is asked by employers when applying for internships or jobs. Good luck!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Data Types and Math Intro

Lecture 3: If Statements and More Operators

Lecture 4: Math and Casting

Lecture 5: More If Statements

Lecture 6: Switch Statements

Chapter 2: Iteration

Lecture 1: While Loops

Lecture 2: For Loops 1

Lecture 3: For Loops 2

Chapter 3: Methods

Lecture 1: Methods Intro

Lecture 2: Methods 1

Lecture 3: Methods 2

Chapter 4: Arrays

Lecture 1: Arrays Introduction and Explanation

Lecture 2: Arrays 1

Lecture 3: Arrays 2

Lecture 4: Passing Arrays into Functions for Mu, Stdev and Skew

Lecture 5: Setting Up A Matrix

Lecture 6: Sorting and Searching Examlples

Chapter 5: Practice Problems

Lecture 1: Practice 1 (Ternary Operator, Ref, Function Overloading)

Lecture 2: Practice 2

Chapter 6: Classes

Lecture 1: Slides 1 (Classes)

Lecture 2: Slides 2 (Classes, Inheritance, Polymorphism, Structs)

Lecture 3: Slides 3 (More examples and explanation of above)

Lecture 4: Slides 4 (Review and more examples)

Lecture 5: Coding Classes

Lecture 6: Classes Constructor, Get/Set, this, and Composition

Lecture 7: Structs: Complex Number

Lecture 8: Classes Inheritance and Polymorphism

Lecture 9: Examples of Inheritance and Ploymorphism

Chapter 7: LINQ

Lecture 1: Introduction to LINQ

Lecture 2: LINQ to Objects

Lecture 3: Arrays vs ArrayList vs List

Lecture 4: LINQ to Lists

Lecture 5: Advanced LINQ 1

Lecture 6: Advanced LINQ 2

Lecture 7: Advanced LINQ 3

Lecture 8: Advanced LINQ 4

Chapter 8: Collections and Generics

Lecture 1: Slides (Generics)

Lecture 2: Concepts in Storing Data

Chapter 9: Solving Equations

Lecture 1: Bisection Method

Lecture 2: Fixed Point Iteration

Lecture 3: Newtons Method

Chapter 10: Systems of Equations

Lecture 1: Gaussian Elimination

Lecture 2: PA=LU Decomposition

Lecture 3: Jacobi Method (Iteration)

Lecture 4: Gauss-Seidel Method (Iteration)

Chapter 11: Financial Applications

Lecture 1: Newtons Method and PA = LU Applications

Lecture 2: Another LU example with bonds

Lecture 3: Financial Applications Practice

Lecture 4: Financial Applications Practice with Answers

Lecture 5: Mean Variance Optimization, GMVP, SIM, Constant Correlation and Shrinkage Method

Chapter 12: Windows Forms

Lecture 1: Forms Intro

Lecture 2: List Box Output

Lecture 3: List Box Input

Lecture 4: Using Textboxes and Buttons

Lecture 5: Labels with Arrays

Instructors

Matthew Fried
Prof.

Rating Distribution

1 stars: 2 votes

2 stars: 2 votes

3 stars: 5 votes

4 stars: 26 votes

5 stars: 97 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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